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Singapore’s agentic AI framework shows how regulators can require an “audit evidence build” sequence: permissions, traceability, delegated actions, and runtime monitoring with go-live gates.
IMDA’s Model AI Governance Framework for Agentic AI reframes governance as deployment controls and audit evidence—pushing pilots to prove operational restraint, not just write documentation.
Enterprises should redesign AI governance so risk tiering, model auditing, and AI incident response produce auditable proof of control, not shifting compliance theater.